app.py

# app.py

import gradio as gr
from core.stock_analysis import analyze_stock
from core.market_stock_sentiment import get_market_stock_sentiment
from langchain_google_genai import ChatGoogleGenerativeAI
from core.stock_history import persist_response
import os

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", google_api_key=GOOGLE_API_KEY)

def analyze_api(ticker):

    ticker_val = ticker.strip().upper()
    if ticker_val == "ALL_STOCKS":
        response = get_market_stock_sentiment(llm)
        persist_response(response)
        return response
    else:
        return analyze_stock(ticker_val, llm)

demo = gr.Interface(
    fn=analyze_api,
    inputs=gr.Textbox(label="Enter NSE Ticker (e.g., RELIANCE)"),
    outputs="json",
    title="📈 Stock Analysis API (NSE)",
    description="Get analysis and insights for Indian stocks using Google Gemini + LangChain. Returns structured JSON."
)

if __name__ == "__main__":
    demo.queue(api_open=True).launch(show_error=True)